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BMC Pregnancy Childbirth. 2022 Jan 10;22(1):25. doi: 10.1186/s12884-021-04324-0.
2
The importance of using local populations to assess fetal and preterm infant growth.利用当地人群评估胎儿和早产儿生长情况的重要性。
J Pediatr (Rio J). 2021 Nov-Dec;97(6):582-584. doi: 10.1016/j.jped.2021.04.001. Epub 2021 May 9.
3
Association Between Preterm-Birth Phenotypes and Differential Morbidity, Growth, and Neurodevelopment at Age 2 Years: Results From the INTERBIO-21st Newborn Study.早产表型与 2 岁时差异发病率、生长和神经发育的关系：来自 INTERBIO-21 新生儿研究的结果。
JAMA Pediatr. 2021 May 1;175(5):483-493. doi: 10.1001/jamapediatrics.2020.6087.
4
Evaluation of the INTERGROWTH-21st project newborn standard for neonatal phenotypes and neonatal morbidity and mortality.对INTERGROWTH-21st项目新生儿表型及新生儿发病率和死亡率的新生儿标准进行评估。
Rev Fac Cien Med Univ Nac Cordoba. 2020 May 6;77(2):86-93. doi: 10.31053/1853.0605.v77.n2.28064.
5
Trends in Perinatal Practices and Neonatal Outcomes of Very Low Birth Weight Infants during a 16-year Period at NEOCOSUR Centers.新南方共同市场中心16年间极低出生体重儿围产期实践及新生儿结局的趋势
J Pediatr. 2020 Oct;225:44-50.e1. doi: 10.1016/j.jpeds.2020.05.040. Epub 2020 May 23.
6
Composite neonatal morbidity indicators using hospital discharge data: A systematic review.利用医院出院数据构建新生儿复合发病率指标：系统评价。
Paediatr Perinat Epidemiol. 2020 May;34(3):350-365. doi: 10.1111/ppe.12665. Epub 2020 Mar 23.
7
Placental measurements and their association with birth weight in a Brazilian cohort.巴西队列中胎盘测量及其与出生体重的关联。
Rev Bras Epidemiol. 2020 Feb 21;23:e200004. doi: 10.1590/1980-549720200004. eCollection 2020.
8
Core outcomes in neonatology: development of a core outcome set for neonatal research.新生儿学核心结局：新生儿研究核心结局集的制定。
Arch Dis Child Fetal Neonatal Ed. 2020 Jul;105(4):425-431. doi: 10.1136/archdischild-2019-317501. Epub 2019 Nov 15.
9
Mortality and severe morbidity of very preterm infants: comparison of two French cohort studies.极早产儿的死亡率和严重发病率：两项法国队列研究的比较。
BMC Pediatr. 2019 Oct 17;19(1):360. doi: 10.1186/s12887-019-1700-7.
10
Prediction of adverse perinatal outcome by fetal biometry: comparison of customized and population-based standards.胎儿生物测量预测不良围产结局：定制标准与基于人群标准的比较。
Ultrasound Obstet Gynecol. 2020 Feb;55(2):177-188. doi: 10.1002/uog.20299.

极低出生体重儿生长表型对巴西队列新生儿结局的预测：与 INTERGROWTH 的比较。

Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH.

机构信息

Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Puericultura e Pediatria, São Paulo, SP, Brazil.

Sociedad Argentina de Pediatria, Subcomissión de Investigación, Buenos Aires, Argentina.

出版信息

J Pediatr (Rio J). 2023 Jan-Feb;99(1):86-93. doi: 10.1016/j.jped.2022.07.007. Epub 2022 Aug 30.

DOI:10.1016/j.jped.2022.07.007
PMID:
36049561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9875266/
Abstract

OBJECTIVE

To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21 (IG21).

METHOD

Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care university hospitals.

OUTCOME

the composite neonatal morbidity and mortality (CNMM) consisted of in-hospital death, oxygen use at 36 weeks, intraventricular hemorrhage grade 3 or 4, and Bell stage 2 or 3 necrotizing enterocolitis. Selected growth phenotypes: small-for-gestational-age (SGA) defined as being < 3 (SGA3) or 10 (SGA10) percentiles of BW, and large-for-gestational-age (LGA) as being > 97 percentile of BW. Stunting as being < 3 percentile of the length and wasting as being < 3 percentile of BMI. Single and multiple log-binomial regression models were fitted to estimate the relative risks of CNMM, comparing them to IG21.

RESULTS

4,072 infants were included. The adjusted relative risks of CNMM associated with selected growth phenotypes were (BNRN/IG21): 1.45 (0.92-2.31)/1.60 (1.27-2.02) for SGA; 0.90 (0.55-1.47)/1.05 (0.55-1.99) for LGA; 1.65 (1.08-2.51)/1.58 (1.28-1.96) for stunting; and 1.48 (1.02-2.17) for wasting. Agreement between the two references was variable. The growth phenotypes had good specificity (>95%) and positive predictive value (70-90%), with poor sensitivity and low negative predictive value.

CONCLUSION

The BNRN phenotypes at birth differed markedly from the IG21 standard and showed poor accuracy in predicting adverse neonatal outcomes.

摘要

目的

评估选定的生长表型对 <30 周早产儿的新生儿发病率和死亡率的预测价值，并与 INTERGROWTH-21（IG21）进行比较。

方法

对巴西新生儿研究网络（BNRN）数据库中 20 家公立三级保健大学医院极低出生体重儿（VLBW）的数据进行回顾性分析。

结局

复合新生儿发病率和死亡率（CNMM）包括院内死亡、36 周时吸氧、脑室内出血 3 或 4 级和贝尔 2 或 3 级坏死性小肠结肠炎。选定的生长表型：小于胎龄儿（SGA）定义为体重 < 3（SGA3）或 10（SGA10）百分位数，大于胎龄儿（LGA）定义为体重 > 97 百分位数。生长迟缓定义为长度 < 3 百分位数，消瘦定义为 BMI < 3 百分位数。采用单因素和多因素对数二项式回归模型来估计 CNMM 的相对风险，并与 IG21 进行比较。

结果

共纳入 4072 例婴儿。与选定的生长表型相关的 CNMM 的调整后相对风险（BNRN/IG21）为：SGA：1.45（0.92-2.31）/1.60（1.27-2.02）；LGA：0.90（0.55-1.47）/1.05（0.55-1.99）；生长迟缓：1.65（1.08-2.51）/1.58（1.28-1.96）；消瘦：1.48（1.02-2.17）。两种参考标准之间的一致性差异较大。出生时的生长表型具有很好的特异性（>95%）和阳性预测值（70-90%），但敏感性差，阴性预测值低。

结论

BNRN 出生时的表型与 IG21 标准有明显差异，预测不良新生儿结局的准确性较差。